Abstract

Background

Treatment with steroids covers a wide spectrum of diseases in clinic. However, some users are suffering from serious side effects of steroid administration, while we enjoy the benefit it brings about. Osteonecrosis of the femoral head (ONFH) is a troublesome one among them. Recent studies have demonstrated that lipid metabolism disorder may play a vital role in pathogenesis of ONFH and mutation of the paraoxonase-1 (PON-1) gene may be involved in the occurrence of this disease. However, the relationship between polymorphisms of PON-1 and ONFH has not been thoroughly studied. The aim of this study was to determine whether PON-1 polymorphisms are associated with steroid-induced ONFH through a cohort study among Chinese Han population.

Methods

This trial applied a case–control scheme to compare the clinical data including PON-1 SNP among 94 patients and 106 control subjects to analyze the association between SNP and risk of steroid-induced ONFH. Time of Flight Mass Spectrometer is utilized for genotyping and the result was analyzed in multivariate analysis models.

Results

According to polymorphism test of rs662, its SNP was significantly associated with the risk of ONFH in overdominant analysis model [P value: 0.022; odds ratio (OR): 0.39]. However, genotype frequencies of rs662 of PON-1 gene between case and control group showed no differences (P > 0.05).

Conclusions

Our data suggest for the first time that SNP (rs662) of the PON-1 gene was associated with the risk of steroid-induced ONFH. In addition, PAI-1 SNPs may play an important role in pathogenesis of ONFH.

Keywords

Introduction

Osteonecrosis of femoral head (ONFH) is a bone disease that cellular death happens within femoral head owing to damage of blood supply to the anterior–superior– lateral part of the femoral head [1]. Without effective intervention, most cases will develop collapse of femoral head and eventually degenerative arthritis of the hip [2]. Although quite a number of treatments were developed to relief or reverse the course of this illness, none of them is satisfactory to solve this intractable medical condition. Invention of total hip arthroplasty is a milestone in management of ONFH, however, the patients often require multiple increasingly difficult surgeries over the course of a lifetime because the average age at presentation is very young (about 33 years of age).

Lots of factors as trauma, alcoholism, coagulation defects, hematopathy, certain autoimmune diseases may lead to osteonecrosis. Beyond that, some treating modalities also increase the risk of this disease. For example, Bisphosphonate contributes to osteonecrosis of jaw (BRONJ) as well as steroids may induce osteonecrosis in multiple joints including hip joint [3]. Among ONFH caused by different etiologies, steroid-induced ONFH attracts vast attention for following reasons: first, there is a growing trend of its morbidity and some epidemic studies suggests it has became the leading cause of ONFH; Second, it typically happens in young patients that is the worst cases to handle; Last, preventative methods seems effective due to laboratory trial [4]. From the fact that even receive same steroid administration regime, not every patient develop ONFH, it is easy to reach the conclusion that steroid sensitivity are different among people. Hence, it is imperative for medical community to bring about substantial moves in prevention. Early perception of susceptible signs in patients on steroid medication is needed for its prospective benefits. To address this problem, the etiology and pathogenesis of ONFH must be thoroughly surveyed to find a starting point. According to current condition, it is neither practicable nor necessary to apply preventative modality on the all patients medicated by steroid, thus screening for susceptible population seems to be the key point making prevention more efficient. With the progress of molecular biology, increasing number of gene was found to be associated with certain disease. Further studies combined several functional genes into a model to predict the occurrence of cancer which make it even closer to clinical application [5]. Presently, single nucleotide polymorphism (SNP) arouses vast interests and is believed to be the most promising direction in this field. In addition to sound proof favoring SNP is related to disease-susceptibility, it also possesses a merit called dimorphism which means each locus comprises of two alleles—it is either this or that. That leads to low cost and difficulty of detect and screen which helps SNP to become a hot spot in medical research. Since its advantages mentioned above, SNP is widely used in research involving steroid-induced ONFH.

To our knowledge, the specific mechanism of steroid-induced ONFH is still unclear. Several hypotheses concerning fat embolism, intraosseous hypertension and venostasis, microvascular impair and osteoporosis are proposed according to pathological observation and they are deemed as reliable ones [6–9]. Apparently lipid metabolism abnormality as well as coagulation disorder are two crucial pathogenic states facilitating this disease. Regarding lipid metabolism abnormality, it refers to elevation of LDL, decrease of HDL and etc. Amount of researches have demonstrated that hyperlipidimia commonly happened in steroid-induced ONFH both in laboratory and clinic [10]. Lipid metabolism is a complicated series of reactions affected by many substances and paraoxonase (PON) is one of them which deeply involved its course. The genetic polymorphism of this enzyme was found to be linked to hyperlipidemia [5]. Actually, the paraoxonase (PON) multi-gene family consists of at least three members as PON-1, PON2 and PON3 that map to 7q21.3-22 of chromosome7 [11]. All of the three members participate the proatherogenic oxidative modification of low-density lipoprotein (LDL) and cell membranes and are therefore considered to be anti-atherogenic while only PON-1 is believed to be the major factor in the antioxidative activity of HDL [12, 13]. Plymorphyism of the PON-1 gene causes variation of blood levels of PON-1 and its catalytic efficacy leading to susceptibility to therosclerosis [14]. PON-1 has two common polymorphisms at codon 192 [A/G: Gln (Q)/Arg (R)] and 55 [T/A: Leu(L)/Met (M)]. It has been proven that the variation and enzyme activity has a cause and effect relationship [15]. In certain populations, elevated enzyme activity gives birth to higher HDL level [16]. Recent researches mainly focus on PON 192 and 55 polymorphisms, several trials found that they were associated with risk of ischemic vascular events as stroke and coronary heart disease [17]. One study also showed that PON-1 192QQ genotype increased risk for steroid-induced ONFH [18]. On the basis of these findings, we hypothesized that there might be a possible relationship between SNP of PON-1 and steroid-induced ONFH. In order to validate this hypothesis, we performed the current study by a cohort study among Chinese Han population.

Materials and methods

Subjects

This study was approved by the ethic committee of two hospital involved—namely Wangjing Hospital, China Academy of Chinese Medical Sciences and Hematology & Blood Diseases Hospital,Chinese Academy of Medical Sciences. And informed consent of all individuals enrolled in the study were obtained after they were full informed what they were engaging in.

Candidate PON-1 single nucleotide polymorphism (SNP) selection

A well-studied functional SNPs in the PON-1 gene, rs662 (−844 G/A, in the promoter) was selected in the list of genotyping in this study for its important functions in regulating PON-1 expression and in the development of ONFH. As the results of our literature retrieval from PubMed database (http://www.ncbi.nlm.nih.gov/pubmed), a study showed for the first time that rs662 was essential SNP involved in the regulation of PON-1 gene expression in ONFH using a Greek population [18]. According to their analysis, they confirmed the risk effects of rs662 in the non-traumatic ONFH. In the current study, the relationship between rs662 SNP and the development of steroid-induced ONFH were investigated using a large cohort of Chinese population.

DNA isolation

Genomic DNA was extracted from 2 mL whole-blood samples using the QIAamp DNA Blood Mini kit (Qiagen, Inc., Valencia, CA) following the manufacturer’s protocol. After dilution to 20 g/μL, DNA was distributed in 96-well plates and stored at −80.

PON-1 SNP genotyping

SNP genotyping was performed on the SEQUENOM MassARRAY® Analyzer 4 (Sequenom, Inc., San Diego, CA, USA) using genomic DNA in a single multiplex reaction. Primers for polymerase chain reaction (PCR) amplification and single base extension were designed by Sequenom Assay Design 3.1 software (Sequenom, San Diego, CA, USA) according to the manufacturer’s instructions (Table 2). For quality control, genotyping was performed without knowledge of the case/control status of the subjects, and a random sample of 5% of cases and controls was genotyped again by different researchers. The reproducibility was 100%. The genotyping success rate was over 95%. In this section, researchers were blind to group information of samples they deal with to avoid selection bias.

Table 2

Polymerase chain reaction primers of SNP

SNP

PCR primer

Sequence

Extension primer

Sequence

Rs662

1st-Primer

ACGTTGGATGGATCACTATTTTCTTGACCC

1st-Primer

TGTTCTTGACCCCTACTTACA

2nd-primer

ACGTTGGATGTAGACAACATACGACCACGC

2nd-primer

TGTTCTTGACCCCTACTTACG

Statistical analysis

Whether individual variants were in Hardy–Weinberg equilibrium was determined by Chi-square tests. Chi-square tests were adopted to assess differences in genotype and allele frequency between case group and control group. Beyond that, statistical significance was judged by the p values obtained from the logistical regression analysis, controlling for age, gender, body mass index (BMI), concurrent disease, steroid dose and duration of steroid administration as covariates with four alternative models (codominant, dominant, recessive and overdominant). All analyses were two-tailed and a p value less than 0.05 were considered to be statistically significant. Statistical analyses were performed by using SAS 9.1 (SAS Institute Inc. Cary, NC, USA) as well as SPSS 12.0 (SPSS Inc, IL, USA).

Results

Patient characteristics

Analysis showed that age, steroid treatment, steroid dose, and duration of steroid treatment between case group and control group was similar (all P > 0.05). However, two groups were obviously different from each other in gender, (P = 0.02), BMI (P < 0.001) and concurrent disease (P < 0.01). More Male patient suffered from ONFH among these steroid users while more patients with relative less BMI developed ONFH.

Polymorphism of rs662 was associated with the risk of steroid-induced ONFH

The genotype frequency of rs662 polymorphism was in accordance with Hardy-Weinberg equilibrium in both case and control groups (Table 3). The P values of polymorphism were analyzed by logistic analysis with respect to a comparison between steroid-induced patients and the controls.

Table 3

Exact test of rs662 for Hardy-Weinberg equilibrium (n = 195)

N11

N12

N22

N1

N2

P-value

All subjects

68

97

30

233

157

0.77

co.ca = 0

30

57

15

117

87

0.22

co.ca = 1

38

40

15

116

70

0.51

As shown in Table 4, the rs662 allele and genotype frequencies showed a significantly higher risk factor in ONFH patients compared with those in controls with P values 0.022 (OR; 0.39, 95% CI; 0.17-0.89) in the overdominant model. Though the P value of rs662 genotype frequency in the condominant model was slightly greater than 0.05 (P = 0.072), it showed the tendency of weak association with the risk of ONFH development. No differences in the frequencies of the allele and genotypes were seen in patients and the controls in the case rs662 polymorphisms.

Table 4

Association between rs662 SNPs and the risk of steroid-induced ONFH

Model

Genotype

co.ca = 0

co.ca = 1

OR (95% CI)

P-value

AIC

BIC

Codominant

G/G

23 (27.1%)

27 (38.6%)

1.00

0.072

189.5

235.1

A/G

49 (57.6%)

30 (42.9%)

0.38 (0.14-1.01)

A/A

13 (15.3%)

13 (18.6%)

0.95 (0.29-3.14)

Dominant

G/G

23 (27.1%)

27 (38.6%)

1.00

0.13

190.4

233

A/G-A/A

62 (72.9%)

43 (61.4%)

0.49 (0.20-1.24)

Recessive

G/G-A/G

72 (84.7%)

57 (81.4%)

1.00

0.23

191.3

233.9

A/A

13 (15.3%)

13 (18.6%)

1.83 (0.67-5.02)

Overdominant

G/G-A/A

36 (42.4%)

40 (57.1%)

1.00

0.022

187.5

230.1

A/G

49 (57.6%)

30 (42.9%)

0.39 (0.17-0.89)

Log-additive

---

---

---

0.92 (0.51-1.66)

0.78

192.7

235.3

Discussion

Although collapse of femoral head is the distinctive feature in radiography which is easy to be identified, it commonly happens in the middle stage. Before that, bone marrow edema, cystic degeneration, bone density loss and other manifestations are all nonspecific signs. Then, the forthcoming subchondral fracture (crescent signs) and calcification zone is reasonable proof for diagnosis but they also mean that the best time for treatment has been past. In addition, pain-the major symptom in early stage, may occurs in lower back, hip or even knees that makes it even more difficult to be diagnosed. Histopathological study reveals that, steroid-induced ONFH suffered diffusive lesions in whole femoral head. Due to the inhibiting effects of steroid on osteoblast the bone repairing course becomes much slower. Furthermore, insufficient blood flow caused by steroid further compromise the repairing process. Consequently, the collapse may develop much faster. Take into account these unfavorable characteristics of steroid-induced ONFH, predicting factors of this disease are needed for prevention and early intervention.

This study was conducted to identify a genetic factor contributing to onset of steroid-induced ONFH. The result indicated that, under the overdominant model, A/G carriers were less susceptible to steroid-induced ONFH than A/A and G/G carriers among patients managed by steroid, suggesting that A/G carriers may have a lower sensitivity to GC than A/A and G/G carriers. In a word, our data suggest for the first time that SNP (rs662) of the PON-1 gene was associated with the risk of steroid-induced ONFH.

As mentioned above, accumulating studies were performed to investigate the relationship between SNP of rs662 (Q192R) and other vascular ischemic diseases. However, their results were not consistent. Two cohort studies in Britain which found no evidence that PON-1 Q192R polymorphism is associated with CHD risk in Caucasian women or men [22, 23]. However, the investigation in Thai population turned out to be opposite—a firm association between polymorphism of Q192R and CHD was observed [24]. For stroke, a study in Chinese population showed that Q192R polymorphism (the R allele and RR genotype) was associated with an increased risk of ischemic stroke [17]. On the contrary, a research in Greece indicated that no links between Q192R and stroke was detected [25, 26]. The demographic factors as ethic background may contribute to this paradox.

There are several highlights in the current study as following: first, PON-1 polymorphism has been a hot issue, however, very few researches was designed to investigate its relationship with ONFH; Second, differences in PON-1 activity, concentration and genotype distribution have long been known to occur between different populations and geographical regions throughout the world. Accordingly, this is deemed as one of the major controversies between studies concerning relationship between PON-1 polymorphism and other diseases. In this study, all participants were confined as Han Chinese lived in north areas of the Yellow River that is designed to avoid deviation caused by ethical and geographical factors. Last but not the least, unlike some other studies that using healthy people as controls, this research recruit steroid users without developing ONFH as reference group. This scheme is of an obvious advantage that it excludes the influence of steroid—a pathogenic factor on subjects of different groups. Consequently, it increases the reliability of the result.

However, there are several limitations in this study. First, the sample size is relative small, which may influence the reliability of our results because the heterogeneity of concurrent diseases of subjects may lead to selection bias of the result. Second, it is still unknown that by which way it facilitates ONFH. Though PON-1 polymorphism is linked to Atherosclerosis, it could not explain its relationship with steroid-induced ONFH. Not like the chronic course of the former one, the latter one is a medical condition happened much faster. Therefore, the exact mechanisms by which the polymorphisms of the PON-1 gene are involved in the development of steroid-induced ONFH require further investigations. And its result may provoke more deep understanding on safe protocol of steroid administration.

In conclusion, our data provide the convincing evidence for the first time that rs662 SNP of PON-1 may be associated with the risk of steroid-induced ONFH, suggesting that the genetic variations of this gene may play an important role in the disease development. Following study is needed for its prospecting result.

Declarations

Acknowledgement

This study was supported by the National Natural Science Foundation of China (no. 81072365 & 81373656).

Competing interests

The authors do not have any conflict of interests with the content of the paper.

Authors’ contributions

ZW: drafted the manuscript, completed the inclusion and exclusion of case group, YZ: helped drafting the manuscript, interpreted the statistical result, XK: processed the blood samples and extracted DNA, SL: completed the inclusion of control cases, YH: collected information and blood samples of control group, RW: performed the statistics and provided clinical background, YL: collected clinical information of case group, CL: collected involving references, helped drafting the tables, NL, WC: designed the whole study, supervised the course of study, revised the manuscript. All authors read and approved the final manuscript.

Copyright

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.